American Association of Colleges of Osteopathic Medicine (AACOM)

Research Scientist

• Conduct exploratory factor analyses (EFA) using Principal Axis Factoring, oblimin rotation, and parallel analysis
• Develop and compare confirmatory factor analysis (CFA) models for independent and dependent variable constructs
• Perform multiple linear regression analyses examining three dependent variable subscales across seven independent variable clusters using both unadjusted and covariate-adjusted models
• Evaluate model assumptions and interpret statistical findings
• Produce publication-quality statistical tables and figures
• Prepare a publication-ready manuscript for submission to a peer-reviewed medical education journal
• Draft the Introduction, Methods, Results, and Discussion sections
• Present statistical findings in a clear and scientifically rigorous manner
• Incorporate feedback from project investigators throughout the manuscript development process
• Develop clean, well-commented, reproducible R code
• Maintain organized analytic documentation and workflows
• Collaborate with the research team through regular virtual project meetings

Research Assistant, PhD Student

Data Scientist

• Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources.
• Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability.
• Ensure analytic workflows are reproducible, well-structured, and scalable.
• Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards.
• Develop dashboards and data visualization tools primarily using Tableau and Python.
• Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products.
• Translate complex datasets into accessible and actionable visual insights.
• Translate defined research designs into executable analytic workflows.
• Clean, transform, and validate complex administrative and survey datasets.
• Conduct quantitative analyses with increasing independence over time.
• Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects.
• Support the development and operationalization of statistical and/or ML models used in research and operational initiatives.
• Partner with colleagues across AACOM departments to support strategic data and analytics initiatives.
• Contribute to a culture of innovation, continuous learning, and process improvement.
• Document workflows, methodologies, and technical processes clearly and consistently.
• Stay current on emerging tools, technologies, and best practices in data science and analytics.